作者
Wei Zhan, Jianyu Chen, Ching-Yao Chan, Changliu Liu, Masayoshi Tomizuka
发表日期
2017/6/11
研讨会论文
2017 IEEE Intelligent Vehicles Symposium (IV)
页码范围
632-639
出版商
IEEE
简介
Conventional layered planning architecture temporally partitions the spatiotemporal motion planning by the path and speed, which is not suitable for lane change and overtaking scenarios with moving obstacles. In this paper, we propose to spatially partition the motion planning by longitudinal and lateral motions along the rough reference path in the Frenét Frame, which makes it possible to create linearized safety constraints for each layer in a variety of on-road driving scenarios. A generic environmental representation methodology is proposed with three topological elements and corresponding longitudinal constraints to compose all driving scenarios mentioned in this paper according to the overlap between the potential path of the autonomous vehicle and predicted path of other road users. Planners combining A* search and quadratic programming (QP) are designed to plan both rough long-term longitudinal …
引用总数
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